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Transactions on Large-Scale Data- and Knowledge-Centered Systems III (Lecture Notes in Computer Science, 10430)
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Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.
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- The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
| Publisher | Springer |
| Publication date | August 16, 2017 |
| Edition | 1st ed. 2017 |
| Language | English |
| Print length | 194 pages |
| ISBN-10 | 3662556952 |
| ISBN-13 | 978-3662556955 |
| Item Weight | 9.9 ounces (280.67 grams) |
| Dimensions | 6.1 x 0.45 x 9.25 inches (15.5 x 1.1 x 23.5 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists specializing in big data and require insights on data management and analytics frameworks.
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Researchers
Great for researchers focused on knowledge-centered systems, providing extensive literature and methodologies for advanced studies.
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Academics
Beneficial for academics teaching data systems, offering a comprehensive resource for course material and case studies.
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Casual Readers
Not suitable for casual readers seeking light or general information on data systems, as it is highly technical.
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Funkcie a výhody
- Focus on data management, knowledge discovery, and knowledge processing
- Evolution from centralized to decentralized systems for large-scale distributed applications
- Utilization of P2P techniques and agent systems for scalability
- Incorporation of grids, P2P systems, and agent technologies is crucial
- Topics include distributed data streams, storage systems, workflow scheduling, data flow optimization, and fusion strategies
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